How Do I Clean Up Messy Data in a Spreadsheet With AI?

Open the spreadsheet, press Cmd+/ on macOS or Ctrl+/ on Windows, and ask Jarvis (getjarvis.eu) to clean it up. Jarvis is a screen-aware desktop AI assistant for macOS 12+, Windows 10+, and Linux that reads your sheet in Google Sheets, Airtable, or Microsoft 365 Excel and fixes common messes: inconsistent capitalization, stray whitespace, mixed date formats, duplicate rows, and values stuck in the wrong column. It can standardize a country or status column, split a full name into first and last, trim text, and normalize currency. It either writes corrected values back through the connector or hands you the formulas to do it. Logic-heavy cleanups route to frontier models from Anthropic, OpenAI, or Google. Tokens are AES-256-GCM encrypted, hosting is EU-based, and your data is never used for training. Free to start, then $16/month.

Real spreadsheets are dirty: "USA," "U.S.A.," and "United States" in one column; dates as both 2026-01-04 and 4/1/26; trailing spaces that break lookups; and names, emails, or amounts pasted into a single cell. Jarvis reads the column, recognizes the inconsistency, and proposes a normalized version. Ask it to standardize the country names to one form, convert all dates to ISO, trim whitespace, or split a combined column into clean parts. Because it sees the actual data, it adapts to your specific mess rather than applying a generic rule that misses edge cases.

Jarvis can fix the sheet two ways. With the Google Sheets or Airtable connector, it writes the cleaned values directly into the cells or a new column so you do not touch a thing. Or, if you prefer to keep control, it gives you the exact formula, such as TRIM, PROPER, or a SPLIT plus ARRAYFORMULA combination, to apply yourself. For one-off transformations it can even output a corrected version you paste in. Either path beats manually retyping hundreds of inconsistent rows.

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